Retouch Ninja [cracked] Here

.upload-area:hover border-color: #a78bfa; background: #2d3a4e;

btnSmooth.addEventListener('click', () => applyRetouchEffect('Skin Smooth')); btnBlemish.addEventListener('click', () => applyRetouchEffect('Blemish Remover')); btnTeeth.addEventListener('click', () => applyRetouchEffect('Teeth Whitening')); btnEyes.addEventListener('click', () => applyRetouchEffect('Eye Enhance')); btnReset.addEventListener('click', resetToOriginal); btnDownload.addEventListener('click', downloadImage); </script> </body> </html> : Replace the applyRetouchEffect function with an API call like:

.ninja-btn.warning background: #dc2626;

// --- Event listeners uploadArea.addEventListener('click', () => fileInput.click()); fileInput.addEventListener('change', (e) => if (e.target.files.length) handleFile(e.target.files[0]); ); uploadArea.addEventListener('dragover', (e) => e.preventDefault(); uploadArea.style.borderColor = '#a78bfa'; ); uploadArea.addEventListener('dragleave', () => uploadArea.style.borderColor = '#475569'; ); uploadArea.addEventListener('drop', (e) => e.preventDefault(); uploadArea.style.borderColor = '#475569'; const file = e.dataTransfer.files[0]; if (file) handleFile(file); );

<div class="before-after"> <span>📸 Original</span> <span>✨ After Ninja Edit</span> </div> <div class="status" id="statusMsg"> 🟢 Ready — upload a portrait to begin </div> </div> </div> </div> retouch ninja

.status margin-top: 1rem; padding: 0.75rem; background: #1e293b; border-radius: 1rem; color: #cbd5e1; text-align: center; font-size: 0.9rem;

.upload-area flex: 1; min-width: 280px; background: #1e293b; border-radius: 1.5rem; padding: 1.5rem; border: 2px dashed #475569; transition: all 0.2s; cursor: pointer; text-align: center; .upload-area:hover border-color: #a78bfa

// --- SIMULATED RETOUCH EFFECTS (visual demo) // Real version would call an ML model (e.g., remove blemishes, smooth skin) switch(effectType) case 'Skin Smooth': // light blur / smoothing effect (simple box blur on skin tones) for (let i = 0; i < data.length; i += 4) const r = data[i]; const g = data[i+1]; const b = data[i+2]; // detect rough skin tones (orange/brown range) & smooth if (r > 80 && r < 220 && g > 50 && g < 180 && b > 40 && b < 150) // reduce contrast / slight brighten data[i] = Math.min(255, r + 12); data[i+1] = Math.min(255, g + 8); data[i+2] = Math.min(255, b + 6); ctx.putImageData(imageData, 0, 0); break; case 'Blemish Remover': // simulate spot removal: soften small dark spots for (let i = 0; i < data.length; i += 4) let r = data[i], g = data[i+1], b = data[i+2]; const brightness = (r+g+b)/3; if (brightness < 100 && r < 120 && g < 100 && b < 90) data[i] = Math.min(255, r + 35); data[i+1] = Math.min(255, g + 30); data[i+2] = Math.min(255, b + 25); ctx.putImageData(imageData, 0, 0); break; case 'Teeth Whitening': // find near-white/yellowish regions and make whiter for (let i = 0; i < data.length; i += 4) let r = data[i], g = data[i+1], b = data[i+2]; if (r > 180 && g > 160 && b > 100 && r < 240 && g < 220) data[i] = Math.min(255, r + 35); data[i+1] = Math.min(255, g + 30); data[i+2] = Math.min(255, b + 20); ctx.putImageData(imageData, 0, 0); break; case 'Eye Enhance': // increase contrast & sharpness around eye area (simulate) for (let i = 0; i < data.length; i += 4) ctx.putImageData(imageData, 0, 0); break; default: break;